Data Science Manager- Pricing Profitability
Tasks
- Apply pricing theory and machine learning
- Assess and manage model risk
- Build pricing modeling pipelines
- Compute counterfactual explanations
- Conduct model back testing
- Contribute production-ready code
- Create automated model validation pipelines
- Create risk and compliance policies
- Deploy predictive models
- Develop predictive pricing models
- Develop proofs of concept
- Mentor data scientists
- Model causal relationships
- Perform exploratory data analysis
- Support model validation
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Automation | Cash Flow | Cash flow analysis | Causal Inference | Counterfactual reasoning | Credit Risk | Credit risk modeling | Data Analysis | Deployment | Exploratory Data Analysis | Financial Modeling | Flow analysis | Git | Loss analysis | Loss forecasting | Machine Learning | Model Validation | Model backtesting | Profit & Loss | Profit & Loss analysis | Python | Regression | Risk Modeling | Statistical modeling | Utilization Forecasting | Version control
Education
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